🤖 CHAPTER 10: "Artificial Intelligence and the Law of Informed Consent" by I. Glenn Cohen (
@CohenProf) and Andrew Slottje
#OpenAccess HERE ▶
doi.org/10.4337/978180220565…) explores how
#AI transforms the legal and ethical dimensions of
#informedconsent in medicine, addressing the challenges AI poses to
#patientautonomy and the
#physicianpatientrelationship.
🚨 Key challenges with AI and informed consent:
⚖️ Transparency dilemmas: AI’s lack of explainability, especially with "black-box"
#algorithms, complicates full disclosure and
#patientunderstanding.
🤖 Autonomy tensions: When
#physicians rely on AI recommendations, patients may perceive diminished control over their
#medicaldecisions.
🩺 Trust risks: The use of AI without disclosure can erode trust in the
#physician-patientrelationship, particularly when AI operates as a de facto decision-maker.
🔒 Legal considerations:
📜 Disclosure obligations: Should physicians inform patients about AI involvement? The chapter examines analogies to existing legal precedents, including cases of
#experimentaltreatments and substitute surgeons.
🛠️ Regulatory standards: Current
#informedconsent laws must adapt to address AI’s evolving role, balancing
#innovation with the protection of
#patientrights.
💡 Key insights:
🔍 Shared decision-making: Physicians must help patients understand AI’s role in treatment, fostering
#trust while ensuring autonomy.
📊 Balancing accuracy and transparency: More accurate AI may require reduced explainability, but clear communication about
#AIreliability can bridge the gap.
🌍 Global implications: While the chapter focuses on
#USlaw, its principles invite broader discussions about adapting informed consent frameworks worldwide.
📖 Chapter 10 is part of the Research Handbook on Health, AI, and the Law (with I. Glenn Cohen). It provides essential insights into reshaping
#informedconsent doctrine in the age of
#AI.
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#AI #HealthLaw #InformedConsent #MedicalAI #Ethics #Transparency #PatientAutonomy #TrustInHealthcare #Innovation